Papers by Krisztina E. Lengyel-Almos
Perspectivas: Revista Científica de la Universidad de Belgrano, 2022
The present paper studies the relationship among two variables that are often used as indicators ... more The present paper studies the relationship among two variables that are often used as indicators of development-GDP per capita, Human Development Index (HDI)-with respect to the five pillars of Global Sustainable Competitiveness Index (GSCI), namely Natural Capital, Resource Intensity, Social Capital, Intellectual Capital, and Governance Performance. The objective is to gain insight how these five pillars impact the GDP per capita and the HDI through the assessment of polynomial regression models. By analyzing these relationships through linear polynomial regression models, certain inferences can be made as to which variable influenced the most these indicators of development. For this purpose, data from SolAbility Sustainable Intelligence's Global Sustainable Competitiveness Report of 2020 are analyzed for 166 countries. Key findings include that of the five pillars four have statistically significant impact on the GDP per capita which is often used as a proxy for estimating living standards. Considering the HDI, a measure of human development, the same four pillars, namely the Resource Intensity, Social Capital, Intellectual Capital, and Governance Performance Competitiveness have an influence that is significant according to the regression analysis. Resource Intensity has an inverse relationship-a decrease in one percent results in greater GDP per capita and the HDI while the other three pillars have a positive relationship: an increase in these scores leads to greater GDP per capita and HDI, on average, according to the sample data.
Economía, Sociedad y Territorio, 2024
This article explores the future of sustainable development in Mexico by 2030 through scenario pl... more This article explores the future of sustainable development in Mexico by 2030 through scenario planning. The research is based on qualitative foresight methods including the Delphi method of consensus seeking, cross-impact analysis and scenario planning. Primary data stems from interviewing thirty experts. Results indicate a convergence in expert opinion concerning uncertainties, including heightened political risk, worsening public safety and sluggish economic growth. Using the cross-matrix methodology, four scenarios were developed which show different potential futures by 2030. The most likely scenario suggests that Mexico is unlikely to meet the Sustainable Development Goals of the UN Agenda 2030.
¿El mercado de Bitcoin es eficiente? Una revisión de la literatura
Análisis Económico, 2021
Esta obra está protegida bajo una Licencia Creative Commons Reconocimiento-NoComercial-SinObraDer... more Esta obra está protegida bajo una Licencia Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional 1 The article is the result of a research project on financial asset bubbles and market efficiency carried out at the postgraduate program in Administrative Economic Sciences of the Autonomous University of Querétaro (UAQ), Mexico. Without financing.
Ensayos de Economía, 2020
Este artículo analiza el impacto de algunas variables de interés sobre la Inversión Extranjera ... more Este artículo analiza el impacto de algunas variables de interés sobre la Inversión Extranjera Directa —IED— en el sector manufacturero mexicano para el periodo 2007-2018. Se busca mostrar el impacto de IED recibida en este sector sobre la productividad medida en las horas trabajadas en la industria manufacturera y por la capacidad de planta, las remuneraciones pagadas al personal ocupado en establecimientos manufactureros, los salarios al personal obrero y técnico, los salarios pagados al personal administrativo y el número de personal ocupado. Se desarrollaron cuatro modelos aplicando el método de Mínimos Cuadrados Ordinarios, los primeros dos estimando seis variables, uno de ellos aplicando logaritmos; los otros dos modelos contemplando solamente las variables significativas de cada uno de ellos con el fin de simplificar el modelo. El modelo inicial aplicando logaritmos resultó más robusto. Los hallazgos confirman una relación positiva de la productividad del sector manufacture...
Conference Presentations by Krisztina E. Lengyel-Almos
ICERI2024 Proceedings. 17th annual International Conference of Education, Research and Innovation, 2024
This educational innovation aimed to explore whether integrating ChatGPT with economic databases ... more This educational innovation aimed to explore whether integrating ChatGPT with economic databases could enhance systemic thinking in students from diverse disciplines. In the Technology and Geopolitical Risks course at the Tecnologico de Monterrey, students engaged in activities that developed the competence "Reasoning for Complexity," incorporating inter-and transdisciplinary perspectives in analysis and problem-solving. Various assessment tools, including initial surveys, Mentimeter feedback, and student reports, evaluated whether research-based active learning (ABI) contributed to systemic thinking skills. The results demonstrated substantial growth in understanding complex systemic interactions and critical thinking relevant to geopolitical and economic analysis.
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Papers by Krisztina E. Lengyel-Almos
Conference Presentations by Krisztina E. Lengyel-Almos